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Partial application

In computer science, partial application (or partial function application) refers to the process of fixing a number of arguments to a function, producing another function of smaller arity. Given a function f:(X×Y×Z)→N{\displaystyle \scriptstyle f\colon (X\times Y\times Z)\to N}, we might fix (or 'bind') the first argument, producing a function of type partial(f):(Y×Z)→N{\displaystyle \scriptstyle {\text{partial}}(f)\colon (Y\times Z)\to N}. Evaluation of this function might be represented as fpartial(2,3){\displaystyle f_{partial}(2,3)}. Note that the result of partial function application in this case is a function that takes two arguments. Partial application is sometimes (incorrectly) called currying, which is a related, but distinct concept.

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Intuitively, partial function application says "if you fix the first arguments of the function, you get a function of the remaining arguments". For example, if function div stands for the division operation x / y, then div with the parameter x fixed at 1 (i.e. div 1) is another function: div=1/y. This is the same as the function inv that returns the multiplicative inverse of its argument, defined by inv(y) = 1 / y.

The practical motivation for partial application is that very often the functions obtained by supplying some but not all of the arguments to a function are useful; for example, many languages have a function or operator similar to plus_one. Partial application makes it easy to define these functions, for example by creating a function that represents the addition operator with 1 bound as its first argument.

In languages such as ML and Haskell functions are defined in curried form by default. Supplying fewer than the total number of arguments is referred to as partial application.

In languages with first-class functions one can define curry, uncurry and papply to perform currying and partial application explicitly. This might incur a greater run-time overhead due to the creation of additional closures, while Haskell can use more efficient techniques.[1]